紀要論文

改札入場データによる人流予測を用いた鉄道列車運行制御手法

Railway Train Operation Control Methods Using Passenger Flow Prediction from Ticket Gate Entry Data

jpn

24321192

https://doi.org/10.15002/00030607

法政大学大学院情報科学研究科

法政大学大学院紀要. 情報科学研究科編

19

1

7

2024-03-24

Version of Record

Ticket gate entry data on railway stations contain a variety of information such as the time passengers pass, the boarding and alighting stations, and the location of the ticket gate they pass through. Therefore, these data are expected to be used as big data to improve railway operation services with a focus on usage status. However, there has not been sufficient study on how to use these data in real time. Such a situation may occur where trains depart in front of the passenger which arrived at platform and the passenger must wait until the next train arrives because train operation crew may not be aware of the flow of passengers. Thus, development of the userfriendly services that take core of individual passengers’ benefit, such as reducing waiting time at platform or total traveling time are desired for public transportation systems. This paper proposes the railway train operation control method based on ticket gate entry data. We created the simulator that imitates trains, stations, and passengers. Using this simulator, we predict and simulate passengers’ flow from entering the ticket gate to arriving at the platform, and then fine-tune operation of railway trains during the simulated morning rush hour.

Article

AA12746425